【作者】 郭健；

【导师】 郑岩；

【作者基本信息】 北京邮电大学 ， 计算机科学与技术， 2014， 硕士

【摘要】 随着互联网的迅猛发展,网上的数据每日海量增加,用户要想在网上搜索到自己希望的信息已经越来越难。为此,出现了搜索引擎等一系列服务,帮助人们快速准确地找到所需信息。但是,已有搜索引擎大多采取基于关键字查询的策略,计算机并不能“理解”用户的搜索意图,即用户真正想要找的是什么。比如,它不能区分“关于儿童的书”、“儿童看的书”之间的区别,只是对这些查询本身在网页中进行匹配。语义网运用的本体构建概念之间的联系,运用本体推理技术揭示诸如“关于儿童的书”和“儿童看的书”之间的关系,从而达到更为准确地理解用户搜索的目的。本文将本体推理技术运用与搜索系统中,实现了一个基于本体推理的国家百科检索系统。具体工作包括：设计了面向国家百科知识的本体系统,并基于protege本体构建工具进行了实现。设计了基于国家百科知识本体系统的推理规则系统,并利用SWRL进行了推理规则的描述。将所设计的本体及推理规则运用到国家百科知识搜索系统中,实现了一个基于本体推理的国家百科知识搜索系统。实验表明了其有效性,它所运用的推理检索方案为将来搜索技术的发展提供了一种新的解决方案。针对如今本体推理技术存在的问题,本文进行了深入的分析研究,并提出作者的见解与解决方案,通过与传统搜索引擎的对比,证明了基于本体推理的检索引擎在查找准确率和效率方面,都有很大的提高。更多还原

【Abstract】 As data on Internet is increasing endlessly every day, getting information we need is more and more difficult. At the same time, we hope Search Engine provide different types of search. Queries which are sent by users represent user intention, if we identify user intention, search quality would be improved dramatically. Search engines have been developed based on key word strategy for a very long time, computer which connect to Internet doesn’t understand user intention on a semantic level. In order to change this situation, we proposed Semantic Web in which computer understand what they stand for and connection between each other semantically and ontology reasoning technology which apply on Semantic Web can dig out more invisible knowledge.In this paper, National encyclopedia search system which based on ontology reasoning will be used to apply semantic web technology into searching technology and make computer understand what resource is semantically. SWRL rules also will be used to execute reasoning system, National encyclopedia ontology system are developed by protege tools. In this experiment, it shows ontology reasoning technology brings a new way for search technology development.Problems exist in ontology reasoning technology are discussed in the later of this paper. This experiment is proved to be capable of improving the quality of searching engine, will be the future development direction of search technology.更多还原